Map the real work
Interview the people doing the work, collect example documents or reports, and document the systems involved.
AI service · Strategy, governance and business case
AI readiness assessment for UK business workflows
A practical audit that turns AI interest into a ranked plan: use cases, data readiness, risks, owners, cost shape and the first safe pilot.
Where this fits
Built for the first useful decision
Use this when AI is being discussed inside the business, but nobody has agreed what should be automated first, what data is usable, or how success will be judged.
The assessment creates a plain-English decision pack: where AI could help, where it would add risk, what can be done with existing systems, and what should wait until the foundations are better.
Commercial output
What you get from this work
- A ranked shortlist of realistic AI opportunities across operations, sales, finance, support, reporting and document-heavy workflows.
- A readiness score covering process clarity, data availability, integration effort, risk, ownership and expected commercial value.
- A 30-60-90 day action plan separating quick workflow fixes from projects that need deeper data or governance work.
- Clear stop/go guidance so the business does not spend money on a chatbot, dashboard or agent before the use case is strong enough.
- A first-pilot brief with scope, users, data sources, success measures and practical next steps.
Score the opportunities
Rank use cases by value, data readiness, risk, user adoption and likely implementation effort.
Choose the first pilot
Pick the narrowest useful project that can prove value without disrupting the business.
Leave a decision pack
Hand over a plan the team can use for budget, supplier selection or implementation.
First pilot shape
Useful projects before big transformation claims
- One high-friction workflow to automate or redesign
- One reporting/dashboard gap to fix
- One document or inbox process to reduce
- One governance checklist for future AI work
Buyer questions
Questions to settle before a pilot
Do we need clean data before an AI readiness assessment?
No. Part of the job is to find out which data is reliable enough, which data is missing, and which workflows should be improved before any model or automation work starts.
Is this a strategy workshop or a technical audit?
It is both, but kept practical. The output connects business value, operational workflow, data readiness and the first implementation route.
Will the assessment recommend a specific AI tool?
Only if a tool genuinely fits. Often the first step is a workflow, data or reporting fix before buying another platform.
Can this be used for management sign-off?
Yes. The deliverable is written so a management team can see the use cases, risks, costs, owners and suggested first pilot.
Next step
Want a practical plan for AI Readiness Assessment?
Send a short note about the workflow, data or operational bottleneck. We will help decide whether it should be automated, improved with better reporting, or left alone.